Current PE&RS Cover
PE&RS October 2008
VOLUME 74, NUMBER 10PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING
This month’s cover is provided by Dr. Giorgos Mountrakis, Director of the
Intelligent Geocomputing Lab at the State University of
New York College of Environmental Science and Forestry
(www.esf.edu). The imagery complements this Special Issue
on “Artificial Intelligence in Remote Sensing”. Artificial
intelligence methods often borrow elements from art and
science. The background image contains a 2003 natural
color digital orthoimagery of Syracuse, New York with a
pixel size of 1.0 ft. GSD. The orthoimagery is processed
using various artistic spatial filters.
The center image is produced using an expert-based system on an April, 2000 Landsat scene from Las Vegas, NV. The system intelligently balances its complexity to adjust to the intricacies of the underlying classification. It selectively and progressively moves from simple classifiers to mathematically complex ones such as neural networks and decision trees. The image shows the spatial footprint of each algorithmic approach. The integration of numerous competing classifi ers offers advanced classification capabilities; the resulting binary classifi cation of urban areas is depicted on the top right image. For more information contact Giorgos Mountrakis at gmountrakis@esf.edu or visit www.aboutgis.com.
Highlight Article
1178 Next Generation Classifiers: Focusing on Integration Frameworks
(Adobe PDF 694Kb)
Giorgos Mountrakis
Foreword
1199 Special Issue
Artificial
Intelligence in Remote Sensing Giorgos Mountrakis and Anthony
Stefanidis
Columns & Updates
1183 Grids and Datums — Republic of Djibouti (Adobe PDF 671Kb)
1186 Headquarters News (Adobe PDF583Kb)
1189 In Memoriam — Andrew
Piscitello
1191 Industry News
Announcements
1190 Call for Papers — 22nd Biennial
Workshop on Aerial Photography,
Videography, and High
Resolution Digital Imagery for
Resource Assessment
1194 New Sustaining Member— Environmental Research
Incorporated
1258 Call for Papers — MultiTemp
2009 — Fifth International
Workshop on the Analysis of
Multitemporal Remote Sensing
Images
Departments
1185 Certification List
1186 Region of the Month
1187 Reflection of the Past (Adobe PDF 823Kb)
1188 New Member List
1193 Who’s Who in ASPRS
1194 Classifieds
1195 Sustaining Members
1197 Instructions for Authors
1200 ASPRS Member Champions (Adobe PDF 346Kb)
1212 Forthcoming Articles
1248 Calendar
1278 Professional Directory
1279 Advertiser Index
1280 Membership Application
Peer-Reviewed Articles (Click the linked titles to see the full abstract)
1201 Mapping Selective Logging in Mixed Deciduous
Forest: A Comparison of Machine Learning Algorithms
Christopher D. Lippitt, John Rogan, Zhe Li, J. Ronald Eastman,
and Trevor G. Jones
A back-propagation multilayer perceptron, self-organizing map, fuzzy ARTMAP, and gini and entropy univariate decision trees compared in terms of their ability to cope with small, unrepresentative, and variable training sets.
1213 Subpixel Urban Land Cover Estimation: Comparing
Cubist, Random Forests, and Support Vector
Regression
Jeffrey T. Walton
Three machine learning subpixel estimation methods were applied to estimate urban cover and the resulting predictions were compared based on accuracy.
1223 Bayesian Learning with Gaussian Processes for
Supervised Classification of Hyperspectral Data
Kaiguang Zhao, Sorin Popescu, and Xuesong Zhang
A novel Bayesian kernel learning machine known as Gaussian Processes introduced into the remote sensing community to classify hyperspectral data.
1235 Neuro-fuzzy Based Analysis of Hyperspectral Imagery
Fang Qiu
A neuro-fuzzy system, namely Gaussian Fuzzy Learning Vector Quantization, was developed to effi ciently and effectively analyze hyperspectral data.
1249 Hybrid Segmentation - Artifi cial Neural Network Classification of High Resolution Hyperspectral Imagery for
Site-Specific Herbicide Management in Agriculture
P.R. Eddy, A.M. Smith, B.D. Hill, D.R. Peddle, C.A. Coburn,
and R.E. Blackshaw
A new, efficient AI method is presented for improved weed management in crops with significant economic and environmental advantages.
1259 Global Optimization versus Deterministic Pruning for
the Classification of Remotely Sensed Imagery
D. Stathakis and I. Kanellopoulos
A method for optimal Multi Layer Perceptron topology determination carried out by a genetic algorithm.
1267 Genetic Algorithms for the Calibration of Cellular
Automata Urban Growth Modeling
Jie Shan, Sharaf Alkheder , and Jun Wang
Using genetic algorithms to optimize the search method for best transition rule values.
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